Manuscript Number : GISRRJ25817

Optimizing HR Practices for Growth : A Study on Recruitment and Selection at FMA Group

Authors(2) :-Mr. Jaskaran Singh, Sheetal Sharma

The integration of Artificial Intelligence (AI) and automation in recruitment and selection processes has significantly transformed human resource management (HRM). AI-powered tools, such as resume screening algorithms, chatbots, video interview analysis, and predictive analytics, have enhanced hiring efficiency, reduced human bias, and improved candidate experience. This paper explores the impact of AI and automation on recruitment, analyzing their advantages, challenges, and ethical concerns. While AI-driven recruitment streamlines decision-making and enhances cost-effectiveness, concerns regarding algorithmic bias, data privacy, and the diminishing human touch in hiring remain critical. The study also examines real-world applications and future trends in AI recruitment, highlighting the need for a balanced approach between automation and human intervention.

Authors and Affiliations

Mr. Jaskaran Singh
Assistant Professor, College of Commerce & Management, Surajmal University, Kichha
Sheetal Sharma
Student, MBA, College of Commerce & Management, Surajmal University, Kichha

Artificial Intelligence (AI), Recruitment, Automation, Human Resource Management (HRM), Talent Acquisition, Resume Screening, Predictive Analytics, Chatbots, Algorithmic Bias, Candidate Experience.

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Publication Details

Published in : Volume 8 | Issue 1 | January-February 2025
Date of Publication : 2025-02-05
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 55-63
Manuscript Number : GISRRJ25817
Publisher : Technoscience Academy

ISSN : 2582-0095

Cite This Article :

Mr. Jaskaran Singh, Sheetal Sharma , "Optimizing HR Practices for Growth : A Study on Recruitment and Selection at FMA Group", Gyanshauryam, International Scientific Refereed Research Journal (GISRRJ), ISSN : 2582-0095, Volume 8, Issue 1, pp.55-63, January-February.2025
URL : https://gisrrj.com/GISRRJ25817

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